From 18cf5a13699e1c6922a872a1d4795b6a8c8aceff Mon Sep 17 00:00:00 2001 From: Zhedong Zheng Date: Tue, 22 Oct 2019 15:10:11 +1100 Subject: [PATCH] Add several person retrieval papers. Dear author, Thank you for your great collection. I add several my papers about person re-identification into your list, which is a subtask of image retrieval. Hope they are good to be merged in your list. Thanks a lot. --- README.md | 5 +++++ 1 file changed, 5 insertions(+) diff --git a/README.md b/README.md index 73ebce8..2be5ab4 100644 --- a/README.md +++ b/README.md @@ -4,6 +4,7 @@ - [Local Features and Visual Words Emerge in Activations](https://avrithis.net/data/pub/pdf/conf/C110.cvpr19.spatial.pdf). - [Explicit Spatial Encoding for Deep Local Descriptors](https://arxiv.org/abs/1904.07190). +- [Joint Discriminative and Generative Learning for Person Re-identification](https://arxiv.org/abs/1904.07223) (Oral)[[Project]](http://zdzheng.xyz/DG-Net/) [[YouTube]](https://www.youtube.com/watch?v=ubCrEAIpQs4) [[Bilibili]](https://www.bilibili.com/video/av51439240) [[Poster]](http://zdzheng.xyz/images/DGNet_poster.pdf) ### ARXIV @@ -59,6 +60,8 @@ - [Regional Attention Based Deep Feature for Image Retrieval](https://sglab.kaist.ac.kr/RegionalAttention/), [code](https://github.com/jaeyoon1603/Retrieval-RegionalAttention), BMVC 2018. - [Detect-to-Retrieve: Efficient Regional Aggregation for Image Search](https://arxiv.org/pdf/1812.01584.pdf), arxiv. - [Revisiting Oxford and Paris: Large-Scale Image Retrieval Benchmarking](http://cmp.felk.cvut.cz/~toliageo/p/RadenovicIscenToliasAvrithisChum_CVPR2018_Revisiting%20Oxford%20and%20Paris:%20Large-Scale%20Image%20Retrieval%20Benchmarking.pdf), [project](http://cmp.felk.cvut.cz/revisitop/), CVPR 2018 +- [A Discriminatively Learned CNN Embedding for Person Re-identification](https://github.com/layumi/2016_person_re-ID),TOMM2017 +- [Unlabeled samples generated by gan improve the person re-identification baseline in vitro](https://github.com/layumi/Person-reID_GAN), ICCV2019 Spotlight #### Deep Learning Feature (Local Feature) @@ -72,6 +75,7 @@ - [GeoDesc: Learning Local Descriptors by Integrating Geometry Constraints](https://arxiv.org/pdf/1807.06294.pdf), [code](https://github.com/lzx551402/geodesc), ECCV 2018. - [Learning local feature descriptors with triplets and shallow convolutional neural networks](https://github.com/vbalnt/tfeat), BMVC 2016. - [SOSNet: Second Order Similarity Regularization for Local Descriptor Learning](https://github.com/scape-research/SOSNet), CVPR 2019. +- [Pedestrian Alignment Network for Large-scale Person Re-identification](https://ieeexplore.ieee.org/document/8481710), TCSVT2018. #### ANN search @@ -143,6 +147,7 @@ #### Semantic Matching - [End-to-end weakly-supervised semantic alignment](https://github.com/ignacio-rocco/weakalign) +- [Dual-Path Convolutional Image-Text Embedding](https://github.com/layumi/Image-Text-Embedding) ### Image Identification